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Machine Learning Methods for Malaria data
Machine Learning Methods for Malaria data
Workshop description
Workshop description
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More information soon
Target audience
Target audience
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Computational resources
Computational resources
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Languages
Languages
The workshop will be delivered in Portuguese and English.
The workshop will be delivered in Portuguese and English.
Basic references
Basic references
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REGISTRATION FOR THE WORKSHOP
REGISTRATION FOR THE WORKSHOP
You can register for the workshop at the moment that you register for the Conference.
If you're already registered for the Conference, but not for the Workshop, please send us an email to info@malarianospalop.org with the subject: 4th Edition Malária nos PALOP - Workshop.
You can register for the workshop at the moment that you register for the Conference.
If you're already registered for the Conference, but not for the Workshop, please send us an email to info@malarianospalop.org with the subject: 4th Edition Malária nos PALOP - Workshop.
For any questions related to the workshop, please contact info@malarianospalop.org.
For any questions related to the workshop, please contact info@malarianospalop.org.
The Instructor
The Instructor
Ana Santos-Pereira
Ana Santos-Pereira
Ana Santos-Pereira holds a PhD in Ageing and Chronic Diseases at the University of Minho. Her doctoral research focused on the evolution, genetic diversity, and antiretroviral drug resistance of HIV-1 using bioinformatics and computational approaches.
She is currently a researcher at ICVS, School of Medicine, University of Minho, where she applies machine learning and deep learning to clinically relevant infectious disease problems. Her recent work includes the prediction of viral phenotypes and treatment-related outcomes from routine sequencing data, as well as contributions to malaria therapeutic failure prediction. She has also developed PyHIV, an open-source Python toolkit for HIV-1 sequence analysis.
Ana’s research combines bioinformatics, data science, and AI for infectious disease genomics, with a strong interest in developing computational tools that can support biomedical research and public health.
More information here.
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